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SKILL.md

auto-research

Agent skill fromhuytieu/COG-second-brain

Deep strategic research engine — decomposes questions into parallel research threads, spawns multiple agents, and synthesizes into actionable strategic analysis

How to install auto-research

install auto-research
# install the COG-second-brain pack with the skills CLI
npx skills add huytieu/COG-second-brain

# or add only this skill to Claude Code: copy the folder

skills/auto-research/

# into

~/.claude/skills/auto-research/ (all projects)

.claude/skills/auto-research/ (one project)

skills/auto-research/SKILL.md

MITFull file
1# COG Auto Research Skill
2
3## When to Invoke
4- User asks a strategic question requiring deep research
5- User says "research", "auto-research", "investigate", "strategic analysis", "deep dive into [topic]"
6- User wants to understand market forces, competitive dynamics, technology trajectories, or strategic options
7- User needs evidence-based analysis with real sources to support decision-making
8
9Inspired by Karpathy's autoresearch — but for strategic thinking instead of ML training.
10
11## Agent Mode Awareness
12
13**Check `agent_mode` in `00-inbox/MY-PROFILE.md` frontmatter:**
14- If `agent_mode: team` — use the full parallel agent execution strategy (5-7 agents). This skill benefits massively from team mode.
15- If `agent_mode: solo` — run 2-3 sequential research passes with WebSearch/WebFetch, produce a lighter analysis without the full multi-thread structure.
16
17## Command: `/auto-research`
18
19## Input
20The user provides a strategic question or topic as the command argument. Examples:
21- "If foundation models commoditize, what happens to LLM wrapper companies?"
22- "Future of the testing industry as AI capabilities expand"
23- "Should we build vs buy vs partner for our AI layer?"
24- "What are the strategic options for Scout if OpenAI launches a testing product?"
25
26---
27
28## Execution Strategy
29
30### Phase 1: Question Decomposition (Orchestrator — 2 minutes)
31
32Break the user's strategic question into 5-7 **research threads** that together will provide a comprehensive answer. Each thread should be:
33…

Excerpt shown under the repository's MIT license.

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